Dataset Versions
v4
2024-02-23 12:01pm
Generated on Feb 23, 2024
2925 Total Images
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Dataset Split
Train Set 87%
2547Images
Valid Set 9%
277Images
Test Set 3%
101Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Exposure: Between -13% and +13%
Blur: Up to 1.5px
Noise: Up to 1.64% of pixels